content-creation

content-creation is a skill for Codex from zhuangguangdahyh-dotcom/content-ops-studio. It costs 41 tokens per session (986 once invoked), scanned A, original, MIT.

A content-writing workflow that turns one confirmed audience problem into evidence-based Xiaohongshu copy. Xiaohongshu is a Chinese social platform built around posts that commonly combine text and images.

In plain words
What is it for?
Use it to create or revise a post, write its pages and publishing text, prepare separate cover copy, and submit a versioned draft for review.
Why use it?
It keeps research, writing, cover text, and visual production separate, while requiring evidence and human review before the draft advances.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Use it to create or revise a post, write its pages and publishing text, prepare separate cover copy, and submit a versioned draft for review.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/zhuangguangdahyh-dotcom/content-ops-studio/content-creation
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add zhuangguangdahyh-dotcom/content-ops-studio --skill content-creation
Clone the repo
git clone --depth 1 https://github.com/zhuangguangdahyh-dotcom/content-ops-studio

Made for: Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for content-creation

README.md
[![agentmods](https://agentmods.dev/badge/skills/zhuangguangdahyh-dotcom/content-ops-studio/content-creation/github.svg)](https://agentmods.dev/skills/zhuangguangdahyh-dotcom/content-ops-studio/content-creation)
Your own site
<a href="https://agentmods.dev/skills/zhuangguangdahyh-dotcom/content-ops-studio/content-creation"><img src="https://agentmods.dev/badge/skills/zhuangguangdahyh-dotcom/content-ops-studio/content-creation/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for content-creation

Your own site · 80×15
<a href="https://agentmods.dev/skills/zhuangguangdahyh-dotcom/content-ops-studio/content-creation"><img src="https://agentmods.dev/badge/skills/zhuangguangdahyh-dotcom/content-ops-studio/content-creation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 41 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 986 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00041 $0.00986
Opus 5.5 $0.00016 $0.00394
Sonnet 5.5 $0.00008 $0.00197
Haiku 4.5 $0.00004 $0.00099

Measured 2mo ago against content hash 81de7443c1af, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

content-creation scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

plugins/content-ops-studio/skills/content-creation/SKILL.md · 53 lines

How it starts

The opening of the file, as written. The whole thing — 53 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Purpose

Create or revise one evidence-grounded Content Package while keeping conversion cover copy, page-one content copy, and visual production separate.

Required preflight

Call content_ops_get_content_context. Require one PAINPOINT_CONFIRMED target, current Project Profile, Pack and active-rule versions, retained Evidence summaries, historical Content, title-count capability, and a resolved operation. Never treat chat memory as project evidence.

Required tool sequence

  1. Call content_ops_plan_content_creation in dry-run mode. Default to at least three material angles and 4–8 pages.
  2. Let the host author one core problem, one core viewpoint, page copy, publish title/body, optional truthful CTA, classified claims, dimension scores, and reasoned near-semantic assessments. For Xiaohongshu, also create a versioned Cover Copy Package with distinct cover_primary_hook, cover_secondary_line, optional supporting copy, and unchanged page_1_content_copy.
  3. Call content_ops_submit_content_draft. This writes only project-local artifacts and binds Plan hash, painpoint version, rule snapshot, and idempotency key.
  4. Show the draft summary and obtain explicit write confirmation before content_ops_finalize_content_copy.
  5. Finalize validates Schemas, claims, deterministic fingerprint, duplication, title, page structure and quality; it writes one existing-Base Content record, moves the painpoint to PAINPOINT_CONTENT_IN_PROGRESS, read-verifies, checkpoints, and stops at G3 CONTENT_COPY.
  6. Show the exact Content/Copy version and copy. Never infer approval. Only the Router may submit a matching content-copy-review through content_ops_submit_approval.
  7. Use list/get/verify tools for readback. For changes, call content_ops_plan_content_revision, retain history, resubmit a new copy version, and wait for a new G3.

Authoring and evidence policy

One Content binds one primary painpoint, core problem, and core viewpoint. It must give the Audience emotional, money, time, risk-reduction, decision, or professional-insight value. External facts and project facts need appropriate Evidence Refs. Professional judgments and opinions must be labelled honestly. Never invent data, studies, rankings, customer stories, cases, or results. An unsupported claim blocks G3.

Read the full file on GitHub · 53 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2mo ago First seen · 53 lines · 41 tokens per session scan A 81de7443c1af

Subscribe to this mod's changes

content-creation is a skill published in the GitHub repository zhuangguangdahyh-dotcom/content-ops-studio (0 stars, last pushed 2mo ago), licensed MIT. It adds 41 tokens to every session and 986 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Related

content-creation compared with skills from other repositories

content-creation next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
content-creationzhuangguangdahyh-dotcom/content-ops-studioSkill02mo agoMITA41Codex
ai-image-generation-studiosickn33/agentic-awesome-skillsSkill49kyesterdayMITA30Claude Code
gpt-imagewuyoscar/GPT-Image2-SkillSkill6.0k1mo agoMITA62Claude Code, Codex
weibo-posterdongsheng123132/u-clawSkill1.8k3d agoMITA32Claude Code, Codex
xiaohongshu-writerdongsheng123132/u-clawSkill1.8k3d agoMITA35Claude Code, Codex
excel-helperdongsheng123132/u-clawSkill1.8k3d agoMITA31Claude Code, Codex
word-writerdongsheng123132/u-clawSkill1.8k3d agoMITA28Claude Code, Codex